Video accident reporting

ABSTRACT

An example operation may include one or more of receiving, by an accident processing node, an accident report generated by a transport, retrieving, by the accident processing node, a time and a location of the accident from the accident report, querying, by the accident processing node, a plurality of transport profiles on a storage based on the time and the location of the accident, and retrieving video data associated with the time and the location of the accident from the plurality of the transport profiles.

BACKGROUND

Vehicles or transports, such as cars, motorcycles, trucks, planes,trains, etc., generally provide transportation needs to occupants and/orgoods in a variety of ways. Functions related to transports may beidentified and utilized by various computing devices, such as asmartphone or a computer, or a tablet.

SUMMARY

One example embodiment may provide a method that includes one or more ofreceiving, by an accident processing node, an accident report from atransport, determining, by an accident processing node, a time andlocation parameters of the accident based on the report, querying, by anaccident processing node, transport profiles on a storage based on thetime and location parameters, and responsive to the transport profilescontaining data corresponding to the time and location parameters,sending a request to access the transport profiles.

Another example embodiment may provide a method that includes one ormore of querying, by a transport, a plurality of transports within arange of an accident location, receiving, by the transport, agreementsto access profiles of the plurality of transports on a storage, andresponsive to the profiles containing video data associated with theaccident location, linking the video data to a profile of the transport.

Yet another example embodiment may provide a method that includes one ormore of receiving, by an accident processing node, an accident reportgenerated by a transport, retrieving, by the accident processing node, atime and a location of the accident from the accident report, querying,by the accident processing node, a plurality of transport profiles on astorage based on the time and the location of the accident, andretrieving video data associated with the time and the location of theaccident from the plurality of the transport profiles.

Another example embodiment may provide a system that includes aprocessor and memory, wherein the processor is configured to perform oneor more of receive an accident report from a transport, determine a timeand location parameters of the accident based on the report, querytransport profiles on a storage based on the time and locationparameters, and responsive to the transport profiles containing datacorresponding to the time and location parameters, send a request toaccess the transport profiles.

Another example embodiment may provide a system that includes aprocessor and memory, wherein the processor is configured to perform oneor more of query a plurality of transports within a range of an accidentlocation, receive agreements to access profiles of the plurality oftransports on a storage, and responsive to the profiles containing videodata associated with the accident location, link the video data to aprofile of the transport.

Yet another example embodiment may provide a system that includes aprocessor and memory, wherein the processor is configured to perform oneor more of receive an accident report generated by a transport, retrievea time and a location of the accident from the accident report, query aplurality of transport profiles on a storage based on the time and thelocation of the accident, and retrieve video data associated with thetime and the location of the accident from the plurality of thetransport profiles.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of receiving an accident report from atransport, determining a time and location parameters of the accidentbased on the report, querying transport profiles on a storage based onthe time and location parameters, and responsive to the transportprofiles containing data corresponding to the time and locationparameters, sending a request to access the transport profiles.

A further example embodiment provides a non-transitory computer readablemedium comprising instructions, that when read by a processor, cause theprocessor to perform one or more of querying a plurality of transportswithin a range of an accident location, receiving agreements to accessprofiles of the plurality of transports on a storage, and responsive tothe profiles containing video data associated with the accidentlocation, linking the video data to a profile of the transport.

Yet a further example embodiment provides a non-transitory computerreadable medium comprising instructions, that when read by a processor,cause the processor to perform one or more of receiving an accidentreport generated by a transport, retrieving a time and a location of theaccident from the accident report, querying a plurality of transportprofiles on a storage based on the time and the location of theaccident, and retrieving video data associated with the time and thelocation of the accident from the plurality of the transport profiles.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A illustrates a transport(s) network diagram in accordance to theexample embodiments.

FIG. 1B illustrates an example network diagram including a transportnode, according to example embodiments.

FIG. 1C illustrates another example network diagram including atransport node, according to example embodiments.

FIG. 1D illustrates another example network diagram including atransport node, according to example embodiments.

FIG. 2A illustrates a blockchain architecture configuration, accordingto example embodiments.

FIG. 2B illustrates another blockchain configuration, according toexample embodiments.

FIG. 2C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments.

FIG. 3A illustrates a flow diagram, according to example embodiments.

FIG. 3B illustrates another flow diagram, according to exampleembodiments.

FIG. 3C illustrates a further flow diagram, according to exampleembodiments.

FIG. 3D illustrates yet a further flow diagram, according to exampleembodiments.

FIG. 3E illustrates a further flow diagram, according to exampleembodiments.

FIG. 3F illustrates yet a further flow diagram, according to exampleembodiments.

FIG. 4A illustrates an example blockchain vehicle configuration formanaging blockchain transactions associated with a vehicle, according toexample embodiments.

FIG. 4B illustrates another example blockchain vehicle configuration formanaging blockchain transactions between a service center and a vehicle,according to example embodiments.

FIG. 4C illustrates yet another example blockchain vehicle configurationfor managing blockchain transactions conducted among various vehicles,according to example embodiments

FIG. 5 illustrates example data blocks, according to exampleembodiments.

FIG. 6 illustrates an example system that supports one or more of theexample embodiments.

DETAILED DESCRIPTION

It will be readily understood that the instant components, as generallydescribed and illustrated in the figures herein, may be arranged anddesigned in a wide variety of different configurations. Thus, thefollowing detailed description of the embodiments of at least one of amethod, apparatus, non-transitory computer readable medium and system,as represented in the attached figures, is not intended to limit thescope of the application as claimed but is merely representative ofselected embodiments.

The instant features, structures, or characteristics as describedthroughout this specification may be combined in any suitable manner inone or more embodiments. For example, the usage of the phrases “exampleembodiments”, “some embodiments”, or other similar language, throughoutleast this specification refers to the fact that a particular feature,structure, or characteristic described in connection with the embodimentmay be included in at one embodiment. Thus, appearances of the phrases“example embodiments”, “in some embodiments”, “in other embodiments”, orother similar language, throughout this specification do not necessarilyall refer to the same group of embodiments, and the described features,structures, or characteristics may be combined in any suitable manner inone or more embodiments. In the diagrams, any connection betweenelements can permit one-way and/or two-way communication even if thedepicted connection is a one-way or two-way arrow. In the currentapplication, a transport may include one or more of cars, trucks,motorcycles, scooters, bicycles, boats, recreational vehicles, planes,and any object that may be used to transport people and or goods fromone location to another.

In addition, while the term “message” may have been used in thedescription of embodiments, the application may be applied to many typesof network data, such as, a packet, frame, datagram, etc. The term“message” also includes packet, frame, datagram, and any equivalentsthereof. Furthermore, while certain types of messages and signaling maybe depicted in exemplary embodiments they are not limited to a certaintype of message, and the application is not limited to a certain type ofsignaling.

Example embodiments provide methods, systems, components, non-transitorycomputer readable media, devices, and/or networks, which provide atleast one of: a transport (also referred to as a vehicle herein) a datacollection system, a data monitoring system, a verification system, anauthorization system and a vehicle data distribution system. The vehiclestatus condition data, received in the form of communication updatemessages, such as wireless data network communications and/or wiredcommunication messages, may be received and processed to identifyvehicle/transport status conditions and provide feedback as to thecondition changes of a transport. In one example, a user profile may beapplied to a particular transport/vehicle to authorize a current vehicleevent, service stops at service stations, and to authorize subsequentvehicle rental services.

Within the communication infrastructure, a decentralized database is adistributed storage system, which includes multiple nodes thatcommunicate with each other. A blockchain is an example of adecentralized database, which includes an append-only immutable datastructure (i.e., a distributed ledger) capable of maintaining recordsbetween untrusted parties. The untrusted parties are referred to hereinas peers, nodes or peer nodes. Each peer maintains a copy of thedatabase records and no single peer can modify the database recordswithout a consensus being reached among the distributed peers. Forexample, the peers may execute a consensus protocol to validateblockchain storage entries, group the storage entries into blocks, andbuild a hash chain via the blocks. This process forms the ledger byordering the storage entries, as is necessary, for consistency. In apublic or permissionless blockchain, anyone can participate without aspecific identity. Public blockchains can involve crypto-currencies anduse consensus based on various protocols such as proof of work (PoW). Onthe other hand, a permissioned blockchain database provides a system,which can secure interactions among a group of entities which share acommon goal, but which do not or cannot fully trust one another, such asbusinesses that exchange funds, goods, information, and the like. Theinstant application can function in a permissioned and/or apermissionless blockchain setting.

Smart contracts are trusted distributed applications which leveragetamper-proof properties of the shared or distributed ledger (i.e., whichmay be in the form of a blockchain) database and an underlying agreementbetween member nodes which is referred to as an endorsement orendorsement policy. In general, blockchain entries are “endorsed” beforebeing committed to the blockchain while entries, which are not endorsed,are disregarded. A typical endorsement policy allows smart contractexecutable code to specify endorsers for an entry in the form of a setof peer nodes that are necessary for endorsement. When a client sendsthe entry to the peers specified in the endorsement policy, the entry isexecuted to validate the entry. After validation, the entries enter anordering phase in which a consensus protocol is used to produce anordered sequence of endorsed entries grouped into blocks.

Nodes are the communication entities of the blockchain system. A “node”may perform a logical function in the sense that multiple nodes ofdifferent types can run on the same physical server. Nodes are groupedin trust domains and are associated with logical entities that controlthem in various ways. Nodes may include different types, such as aclient or submitting-client node which submits an entry-invocation to anendorser (e.g., peer), and broadcasts entry-proposals to an orderingservice (e.g., ordering node). Another type of node is a peer node,which can receive client submitted entries, commit the entries andmaintain a state and a copy of the ledger of blockchain entries. Peerscan also have the role of an endorser, although it is not a requirement.An ordering-service-node or orderer is a node running the communicationservice for all nodes, and which implements a delivery guarantee, suchas a broadcast to each of the peer nodes in the system when committingentries and modifying a world state of the blockchain, which is anothername for the initial blockchain entry, which normally includes controland setup information.

A ledger is a sequenced, tamper-resistant record of all statetransitions of a blockchain. State transitions may result from smartcontract executable code invocations (i.e., entries) submitted byparticipating parties (e.g., client nodes, ordering nodes, endorsernodes, peer nodes, etc.). An entry may result in a set of assetkey-value pairs being committed to the ledger as one or more operands,such as creates, updates, deletes, and the like. The ledger includes ablockchain (also referred to as a chain), which is used to store animmutable, sequenced record in blocks. The ledger also includes a statedatabase, which maintains a current state of the blockchain. There istypically one ledger per channel. Each peer node maintains a copy of theledger for each channel of which they are a member.

A chain is an entry log, which is structured as hash-linked blocks, andeach block contains a sequence of N entries where N is equal to orgreater than one. The block header includes a hash of the block'sentries, as well as a hash of the prior block's header. In this way, allentries on the ledger may be sequenced and cryptographically linkedtogether. Accordingly, it is not possible to tamper with the ledger datawithout breaking the hash links. A hash of a most recently addedblockchain block represents every entry on the chain that has comebefore it, making it possible to ensure that all peer nodes are in aconsistent and trusted state. The chain may be stored on a peer nodefile system (i.e., local, attached storage, cloud, etc.), efficientlysupporting the append-only nature of the blockchain workload.

The current state of the immutable ledger represents the latest valuesfor all keys that are included in the chain entry log. Because thecurrent state represents the latest key values known to a channel, it issometimes referred to as a world state. Smart contract executable codeinvocations execute entries against the current state data of theledger. To make these smart contract executable code interactionsefficient, the latest values of the keys may be stored in a statedatabase. The state database may be simply an indexed view into thechain's entry log, it can therefore be regenerated from the chain at anytime. The state database may automatically be recovered (or generated ifneeded) upon peer node startup, and before entries are accepted.

A blockchain is different from a traditional database in that theblockchain is not a central storage but rather a decentralized,immutable, and secure storage, where nodes must share in changes torecords in the storage. Some properties that are inherent in blockchainand which help implement the blockchain include, but are not limited to,an immutable ledger, smart contracts, security, privacy,decentralization, consensus, endorsement, accessibility, and the like.

Example embodiments provide a way for providing a vehicle service to aparticular vehicle and/or requesting user associated with a user profilethat is applied to the vehicle. For example, a user may be the owner ofa vehicle or the operator of a vehicle owned by another party. Thevehicle may require service at certain intervals and the service needsmay require authorization prior to permitting the services to bereceived. Also, service centers may offer services to vehicles in anearby area based on the vehicle's current route plan and a relativelevel of service requirements (e.g., immediate, severe, intermediate,minor, etc.). The vehicle needs may be monitored via one or moresensors, which report sensed data to a central controller computerdevice in the vehicle, which in turn, is forwarded to a managementserver for review and action.

A sensor may be located on one or more of the interior of the transport,the exterior of the transport, on a fixed object apart from thetransport, and on another transport near to the transport. The sensormay also be associated with the transport's speed, the transport'sbraking, the transport's acceleration, fuel levels, service needs, thegear-shifting of the transport, the transport's steering, and the like.The notion of a sensor may also be a device, such as a mobile device.Also, sensor information may be used to identify whether the vehicle isoperating safely and whether the occupant user has engaged in anyunexpected vehicle conditions, such as during the vehicle access period.Vehicle information collected before, during and/or after a vehicle'soperation may be identified and stored in a transaction on ashared/distributed ledger, which may be generated and committed to theimmutable ledger as determined by a permission granting consortium, andthus in a “decentralized” manner, such as via a blockchain membershipgroup. Each interested party (i.e., company, agency, etc.) may want tolimit the exposure of private information, and therefore the blockchainand its immutability can limit the exposure and manage permissions foreach particular user vehicle profile. A smart contract may be used toprovide compensation, quantify a user profile score/rating/review, applyvehicle event permissions, determine when service is needed, identify acollision and/or degradation event, identify a safety concern event,identify parties to the event and provide distribution to registeredentities seeking access to such vehicle event data. Also, the resultsmay be identified, and the necessary information can be shared among theregistered companies and/or individuals based on a “consensus” approachassociated with the blockchain. Such an approach could not beimplemented on a traditional centralized database.

Autonomous driving systems can utilize software, an array of sensors aswell as machine learning functionality, lidar projectors, radar,ultrasonic sensors, etc. to create a map of terrain and road that atransport can use for navigation and other purposes. In someembodiments, GPS, maps, cameras, sensors and the like can also be usedin autonomous vehicles in place of lidar.

The instant application includes, in certain embodiments, authorizing avehicle for service via an automated and quick authentication scheme.For example, driving up to a charging station or fuel pump may beperformed by a vehicle operator, and the authorization to receive chargeor fuel may be performed without any delays provided the authorizationis received by the service station. A vehicle may provide acommunication signal that provides an identification of a vehicle thathas a currently active profile linked to an account that is authorizedto accept a service, which can be later rectified by compensation.Additional measures may be used to provide further authentication, suchas another identifier may be sent from the user's device wirelessly tothe service center to replace or supplement the first authorizationeffort between the transport and the service center with an additionalauthorization effort.

Data shared and received may be stored in a database, which maintainsdata in one single database (e.g., database server) and generally at oneparticular location. This location is often a central computer, forexample, a desktop central processing unit (CPU), a server CPU, or amainframe computer. Information stored on a centralized database istypically accessible from multiple different points. A centralizeddatabase is easy to manage, maintain, and control, especially forpurposes of security because of its single location. Within acentralized database, data redundancy is minimized as a single storingplace of all data also implies that a given set of data only has oneprimary record.

According to the exemplary embodiments, a transport system may storetransport profile data in a blockchain. The transport profile data mayinclude video files (or links to the video files) acquired by cameraslocated on all sides of the transport. Once an accident is reported toan accident processing authority (e.g., police or an insurance company),the authority can access the video files from the transport profiles ofthe transports that are determined to have been in the proximity of theaccident. All transports may be connected to the blockchain and may beable provide consensus for accessing their respective profiles. Arelevance of the transports to the accident may be determined bylocation parameters and time stamps stored in the profile of thetransport(s) involved in the accident. Further, a transport involved inan accident, or in a near-accident or other incident, can receive videodata from other transports (which may be proximate the accident scene orhave previously passed a location associated with the scene and havevideo and other data associated with the location) based on a consensusto access their profiles. In one embodiment, a consensus of alltransport is to be achieved. In other embodiments, a consensus of acertain percentage of the transports is to be achieved. In still otherembodiments, a consensus of certain types of transports, certain types,angles, durations, quality and/or analysis of video, certaindirection(s) being traveled by the transports, etc. is to be achieved.

In another embodiment, the transport has a profile on a blockchain.Other transports in the area may be connected to the blockchain. If thetransport has been involved in an accident, the transport may query thetransports that are proximate to the location of the accident todetermine if they may have videos taken at the time of the accident. Ifthe transports agree to give access to these videos, the transport maydownload the videos and may provide the videos (or links to the videos)to any individual device or entity system, such as an accidentprocessing party as a part of an accident report. The instant solutioncan perform perimeter transport querying which results in a smartcontract being formed between the transport(s) involved in theincident(s) and the other transport(s) that originated and/or haveaccess to data associated with the incident. This consensus-based smartcontract can be effectively used (with connection to appropriatesystems) to dynamically ensure tracking and compliance with applicablelaws surrounding privacy and access procedures. In one embedment, thisconsensus-based smart contract is formed and stored in a new data blockon a blockchain and is executed to perform a linking and/or tracking ofthe video data, which can then be stored in the blockchain.

In a further embodiment, an accident processing node, such as a serveror computer, acquires video of the accident from the transport (a viewfrom the interior of the transport) as well as other video from one ormore other transports and/or fixed objects with various views of thetransport (an exterior view of the transport), such as a front, side orrear views. This other video, taken prior to the accident and/orincluding the accident (and a time thereafter) is integrated with thevideo of the accident taken from the transport to create a fullerrepresentation of the events leading up to the accident. For example, avideo of the rear of the transport can provide angles to the left andright of the transport that the transport did not capture. This fullerview can be integrated with the view from the transport that the videotaken from the rear could not capture (as the transport was ahead or infront) and then run as a seamless “enhanced” video providing moreinformation that would otherwise be possible. Other views, from above(for example, taken from a camera on a light pole) or beneath (forexample, taken from a road level camera) can be utilized to provide atop-down and/or bottom-up view and integrated with a front view, rearview and/or side view of the transport taken by the transport to providean array of fuller views.

Many auto accidents happen without enough evidence to identify a partyat fault. In many cases, video data related to the accident needs to beavailable to identify a party at fault in the accidents properly.However, the video data may only be available inside parking garages orsome parking lots and some roads. While many cars are equipped withcameras and dash video recorders, the videos cannot be automaticallyshared with other cars and with other parties such as police orinsurance companies. A centralized system that can collect and securelyand efficiently track and share videos from multiple transports does notexist. Accordingly, efficient and secure immutable storage forprocessing video data related to auto accidents is desired.

In yet another embodiment, after a transport has been involved in anaccident, an accident report may be received by an accident processingparty (e.g., police or an insurance company). The transport may have aprofile on a blockchain. Other transports in the area may be connectedto the blockchain and may have profiles stored on the blockchain aswell. The accident processing party may determine location and time ofthe accident form the report. Then, the accident processing party mayquery profiles of the transports on the blockchain to determine theprofiles that may have video data recorded near the location of theaccident at the time (or near the time) of the accident. The accidentprocessing party may request a consensus to access the video data fromthe transports for processing of the accident report.

FIG. 1A illustrates a transport(s) network diagram 100 in accordance tothe exemplary embodiments. According to one exemplary embodiment, anaccident processing node 103 may receive an accident report from atransport 102. The accident processing node 103 may determine a time andlocation parameters of the accident based on the report. Then, theaccident processing node 103 may query transport profiles of transports105 on a storage based on the time and location parameters. Once theaccident processing node 103 determines that the transports' 105profiles contain data corresponding to the time and location parameters,the accident processing node 103 may send a request to the transports105 to access their respective transport profiles on the storage. Theaccident processing node 103 may have a computing device or a servercomputer, or the like, and may include a processor 104, which may be asemiconductor-based microprocessor, a central processing unit (CPU), anapplication specific integrated circuit (ASIC), a field-programmablegate array (FPGA), and/or another hardware device.

FIG. 1B illustrates an example of a network diagram for processing ofaccident-related data. Referring to FIG. 1B, the network diagram 111includes a transport node 102 connected to other transport nodes 105over a blockchain network 106. The transport nodes 102 and 105 mayrepresent transports/vehicles. The blockchain network 106 may haveledger 108 for storing data, such as transport profiles (including videodata) and transactions 110, that record the accident locations,timestamps, and other related data. The transport node 102 may beconnected to an accident processing (authority) node 103.

While this example describes in detail only one accident processing node103, multiple such nodes may be connected to the blockchain 106. Itshould be understood that the accident processing node 103 may includeadditional components and that some of the components described hereinmay be removed and/or modified without departing from a scope of theaccident processing node 103 disclosed herein. The accident processingnode 103 may have a computing device or a server computer, or the like,and may include a processor 104, which may be a semiconductor-basedmicroprocessor, a central processing unit (CPU), an application specificintegrated circuit (ASIC), a field-programmable gate array (FPGA),and/or another hardware device. Although a single processor 104 isdepicted, it should be understood that the accident processing node 103may include multiple processors, multiple cores, or the like, withoutdeparting from the scope of the accident processing node 103 system.

The accident processing node 103 may also include a non-transitorycomputer readable medium 112 that may have stored thereonmachine-readable instructions executable by the processor 104. Examplesof the machine-readable instructions are shown as 114-120 and arefurther discussed below. Examples of the non-transitory computerreadable medium 112 may include an electronic, magnetic, optical, orother physical storage device that contains or stores executableinstructions. For example, the non-transitory computer readable medium112 may be a random access memory (RAM), an Electrically ErasableProgrammable Read-Only Memory (EEPROM), a hard disk, an optical disc, orother type of storage device.

The processor 104 may execute the machine-readable instructions 114 toreceive an accident report from a transport 102. Each of the transports105 and 102 may serve as a network node on a blockchain network 106. Asdiscussed above, the blockchain ledger 108 may store transport profiles(e.g., 102 and 105) transactions 110. The blockchain 106 network may beconfigured to use one or more smart contracts that may managetransactions for participating transport nodes 105 and 102. The accidentprocessing node 103 may provide the accident-related information to theblockchain 106 to be stored on a ledger 108.

The processor 104 may execute the machine-readable instructions 116 todetermine a time and location parameters of the accident based on thereport. The processor 104 may execute the machine-readable instructions118 to query transport 105 profiles on a storage based on the time andlocation parameters. The processor 104 may execute the machine-readableinstructions 120 to, responsive to the transport 105 profiles containingdata corresponding to the time and location parameters, send a requestto access the transport 105 profiles.

FIG. 1C illustrates a network diagram for providing video data of anaccident by a transport. Referring to FIG. 1C, the network diagram 121includes a transport node 102 (e.g., a vehicle involved in an accident)connected to other transport nodes 105 over a blockchain network 106that has a ledger 108 for storing transport profiles and transactions110. The transport node 105 may be connected to an accident processingnode 103. The transport nodes 102 and 105 may also serve as blockchain106 peers. While this example describes in detail only one transportnode 102, multiple such nodes may be connected to the blockchain 106. Itshould be understood that the transport node 102 may include additionalcomponents and that some of the components described herein may beremoved and/or modified without departing from a scope of the transportnode 102 disclosed herein. The transport node 102 may have a computingdevice or a server computer, or the like, and may include a processor104, which may be a semiconductor-based microprocessor, a centralprocessing unit (CPU), an application specific integrated circuit(ASIC), a field-programmable gate array (FPGA), and/or another hardwaredevice. Although a single processor 104 is depicted, it should beunderstood that the transport node 102 may include multiple processors,multiple cores, or the like, without departing from the scope of thetransport node 102.

The transport node 102 may also include a non-transitory computerreadable medium 112′ that may have stored thereon machine-readableinstructions executable by the processor 104. Examples of themachine-readable instructions are shown as 113-117 and are furtherdiscussed below. Examples of the non-transitory computer readable medium112′ may include an electronic, magnetic, optical, or other physicalstorage device that contains or stores executable instructions. Forexample, the non-transitory computer readable medium 112′ may be arandom access memory (RAM), an Electrically Erasable ProgrammableRead-Only Memory (EEPROM), a hard disk, an optical disc, or other typeof storage device.

The processor 104 may execute the machine-readable instructions 113 toquery a plurality of transports (e.g., transport nodes 105) within arange of an accident location. The blockchain 106 may be configured touse one or more smart contracts that manage transactions for multipleparticipating nodes (e.g., 105 and 102). The transport node 102 mayprovide accident-related information to the blockchain 106 and thistransaction may be stored on the ledger 108.

The processor 104 may execute the machine-readable instructions 115 toreceive agreements to access profiles of the plurality of transports 105on a storage. The processor 104 may execute the machine-readableinstructions 117 to, responsive to the profiles containing video dataassociated with the accident location, link the video data to a profileof the transport 102.

FIG. 1D illustrates a network diagram for acquiring video evidence basedon an accident report. Referring to FIG. 1D, the network diagram 123includes a transport node 102 connected to other transport nodes 105over a blockchain network 106. The transport nodes 102 and 105 mayrepresent transports/vehicles. The blockchain network 106 may haveledger 108 for storing data, such as transport profiles (including videodata) and transactions 110, that record the accident locations,timestamps, and other related data. The transport node 102 may beconnected to an accident processing (authority) node 103.

While this example describes in detail only one accident processing node103, multiple such nodes may be connected to the blockchain 106. Itshould be understood that the accident processing node 103 may includeadditional components and that some of the components described hereinmay be removed and/or modified without departing from a scope of theaccident processing node 103 disclosed herein. The accident processingnode 103 may have a computing device or a server computer, or the like,and may include a processor 104, which may be a semiconductor-basedmicroprocessor, a central processing unit (CPU), an application specificintegrated circuit (ASIC), a field-programmable gate array (FPGA),and/or another hardware device. Although a single processor 104 isdepicted, it should be understood that the accident processing node 103may include multiple processors, multiple cores, or the like, withoutdeparting from the scope of the accident processing node 103 system.

The accident processing node 103 may also include a non-transitorycomputer readable medium 112″ that may have stored thereonmachine-readable instructions executable by the processor 104. Examplesof the machine-readable instructions are shown as 130-136 and arefurther discussed below. Examples of the non-transitory computerreadable medium 112″ may include an electronic, magnetic, optical, orother physical storage device that contains or stores executableinstructions. For example, the non-transitory computer readable medium112″ may be a random access memory (RAM), an Electrically ErasableProgrammable Read-Only Memory (EEPROM), a hard disk, an optical disc, orother type of storage device.

The processor 104 may execute the machine-readable instructions 130 toreceive an accident report generated by a transport 102. The blockchain106 may be configured to use one or more smart contracts that managetransactions for multiple participating nodes 105. The accidentprocessing node 103 may provide accident-related information to theblockchain 106 and this transaction may be stored on the ledger 108.

The processor 104 may execute the machine-readable instructions 132 toretrieve a time and a location of the accident from the accident report.The processor 104 may execute the machine-readable instructions 134 toquery a plurality of transport profiles on a storage based on the timeand the location of the accident. The processor 104 may execute themachine-readable instructions 136 to retrieve video data associated withthe time and the location of the accident from the plurality of thetransport profiles.

FIG. 2A illustrates a blockchain architecture configuration 200,according to example embodiments. Referring to FIG. 2A, the blockchainarchitecture 200 may include certain blockchain elements, for example, agroup of blockchain member nodes 202-206 as part of a blockchain group210. In one example embodiment, a permissioned blockchain is notaccessible to all parties but only to those members with permissionedaccess to the blockchain data. The blockchain nodes participate in anumber of activities, such as blockchain entry addition and validationprocess (consensus). One or more of the blockchain nodes may endorseentries based on an endorsement policy and may provide an orderingservice for all blockchain nodes. A blockchain node may initiate ablockchain action (such as an authentication) and seek to write to ablockchain immutable ledger stored in the blockchain, a copy of whichmay also be stored on the underpinning physical infrastructure.

The blockchain transactions 220 are stored in memory of computers as thetransactions are received and approved by the consensus model dictatedby the members' nodes. Approved transactions 226 are stored in currentblocks of the blockchain and committed to the blockchain via a committalprocedure, which includes performing a hash of the data contents of thetransactions in a current block and referencing a previous hash of aprevious block. Within the blockchain, one or more smart contracts 230may exist that define the terms of transaction agreements and actionsincluded in smart contract executable application code 232, such asregistered recipients, vehicle features, requirements, permissions,sensor thresholds, etc. The code may be configured to identify whetherrequesting entities are registered to receive vehicle services, whatservice features they are entitled/required to receive given theirprofile statuses and whether to monitor their actions in subsequentevents. For example, when a service event occurs and a user is riding inthe vehicle, the sensor data monitoring may be triggered, and a certainparameter, such as a vehicle charge level, may be identified as beingabove/below a particular threshold for a particular period of time. Thenthe result may be a change to a current status, which requires an alertto be sent to the managing party (i.e., vehicle owner, vehicle operator,server, etc.) so the service can be identified and stored for reference.The vehicle sensor data collected may be based on types of sensor dataused to collect information about vehicle's status. The sensor data mayalso be the basis for the vehicle event data 234, such as a location(s)to be traveled, an average speed, a top speed, acceleration rates,whether there were any collisions, was the expected route taken, what isthe next destination, whether safety measures are in place, whether thevehicle has enough charge/fuel, etc. All such information may be thebasis of smart contract terms 230, which are then stored in ablockchain. For example, sensor thresholds stored in the smart contractcan be used as the basis for whether a detected service is necessary andwhen and where the service should be performed.

FIG. 2B illustrates a shared ledger configuration, according to exampleembodiments. Referring to FIG. 2B, the blockchain logic example 250includes a blockchain application interface 252 as an API or plug-inapplication that links to the computing device and execution platformfor a particular transaction. The blockchain configuration 250 mayinclude one or more applications which are linked to applicationprogramming interfaces (APIs) to access and execute storedprogram/application code (e.g., smart contract executable code, smartcontracts, etc.) which can be created according to a customizedconfiguration sought by participants and can maintain their own state,control their own assets, and receive external information. This can bedeployed as an entry and installed, via appending to the distributedledger, on all blockchain nodes.

The smart contract application code 254 provides a basis for theblockchain transactions by establishing application code which whenexecuted causes the transaction terms and conditions to become active.The smart contract 230, when executed, causes certain approvedtransactions 226 to be generated, which are then forwarded to theblockchain platform 262. The platform includes a security/authorization268, computing devices, which execute the transaction management 266 anda storage portion 264 as a memory that stores transactions and smartcontracts in the blockchain.

The blockchain platform may include various layers of blockchain data,services (e.g., cryptographic trust services, virtual executionenvironment, etc.), and underpinning physical computer infrastructurethat may be used to receive and store new entries and provide access toauditors which are seeking to access data entries. The blockchain mayexpose an interface that provides access to the virtual executionenvironment necessary to process the program code and engage thephysical infrastructure. Cryptographic trust services may be used toverify entries such as asset exchange entries and keep informationprivate.

The blockchain architecture configuration of FIGS. 2A and 2B may processand execute program/application code via one or more interfaces exposed,and services provided, by the blockchain platform. As a non-limitingexample, smart contracts may be created to execute reminders, updates,and/or other notifications subject to the changes, updates, etc. Thesmart contracts can themselves be used to identify rules associated withauthorization and access requirements and usage of the ledger. Forexample, the information may include a new entry, which may be processedby one or more processing entities (e.g., processors, virtual machines,etc.) included in the blockchain layer. The result may include adecision to reject or approve the new entry based on the criteriadefined in the smart contract and/or a consensus of the peers. Thephysical infrastructure may be utilized to retrieve any of the data orinformation described herein.

Within smart contract executable code, a smart contract may be createdvia a high-level application and programming language, and then writtento a block in the blockchain. The smart contract may include executablecode, which is registered, stored, and/or replicated with a blockchain(e.g., distributed network of blockchain peers). An entry is anexecution of the smart contract code, which can be performed in responseto conditions associated with the smart contract being satisfied. Theexecuting of the smart contract may trigger a trusted modification(s) toa state of a digital blockchain ledger. The modification(s) to theblockchain ledger caused by the smart contract execution may beautomatically replicated throughout the distributed network ofblockchain peers through one or more consensus protocols.

The smart contract may write data to the blockchain in the format ofkey-value pairs. Furthermore, the smart contract code can read thevalues stored in a blockchain and use them in application operations.The smart contract code can write the output of various logic operationsinto the blockchain. The code may be used to create a temporary datastructure in a virtual machine or other computing platform. Data writtento the blockchain can be public and/or can be encrypted and maintainedas private. The temporary data that is used/generated by the smartcontract is held in memory by the supplied execution environment, thendeleted once the data needed for the blockchain is identified.

A smart contract executable code may include the code interpretation ofa smart contract, with additional features. As described herein, thesmart contract executable code may be program code deployed on acomputing network, where it is executed and validated by chainvalidators together during a consensus process. The smart contractexecutable code receives a hash and retrieves from the blockchain a hashassociated with the data template created by use of a previously storedfeature extractor. If the hashes of the hash identifier and the hashcreated from the stored identifier template data match, then the smartcontract executable code sends an authorization key to the requestedservice. The smart contract executable code may write to the blockchaindata associated with the cryptographic details.

FIG. 2C illustrates a blockchain configuration for storing blockchaintransaction data, according to example embodiments. Referring to FIG.2C, the example configuration 270 provides for the vehicle 272, the userdevice 274 and a server 276 sharing information with a distributedledger (i.e., blockchain) 278. The server may represent a serviceprovider entity inquiring with a vehicle service provider to share userprofile rating information in the event that a known and establisheduser profile is attempting to rent a vehicle with an established ratedprofile. The server 276 may be receiving and processing data related toa vehicle's service requirements. As the service events occur, such asthe vehicle sensor data indicates a need for fuel/charge, a maintenanceservice, etc., a smart contract may be used to invoke rules, thresholds,sensor information gathering, etc., which may be used to invoke thevehicle service event. The blockchain transaction data 280 is saved foreach transaction, such as the access event, the subsequent updates to avehicle's service status, event updates, etc. The transactions mayinclude the parties, the requirements (e.g., 18 years of age, serviceeligible candidate, valid driver's license, etc.), compensation levels,the distance traveled during the event, the registered recipientspermitted to access the event and host a vehicle service,rights/permissions, sensor data retrieved during the vehicle eventoperation to log details of the next service event and identify avehicle's condition status, and thresholds used to make determinationsabout whether the service event was completed and whether the vehicle'scondition status has changed.

FIG. 3A illustrates a flow diagram 300, according to exampleembodiments. Referring to FIG. 3A, an example method may be executed bythe accident processing node 103 (see FIG. 1B). It should be understoodthat method 300 depicted in FIG. 3A may include additional operationsand that some of the operations described therein may be removed and/ormodified without departing from the scope of the method 300. Thedescription of the method 300 is also made with reference to thefeatures depicted in FIG. 1B for purposes of illustration. Particularly,the processor 104 of accident processing node 103 may execute some orall of the operations included in the method 300.

With reference to FIG. 3A, at block 302, the processor 104 may receivean accident report from a transport. At block 304, the processor 104 maydetermine a time and location parameters of the accident based on thereport. At block 306, the processor 104 may query transport profiles ona storage based on the time and location parameters. At block 308, theprocessor 104 may, responsive to the transport profiles containing datacorresponding to the time and location parameters, send a request toaccess the transport profiles.

FIG. 3B illustrates a flow diagram 320 of an example method, accordingto example embodiments. Referring to FIG. 3B, the method 320 may alsoinclude one or more of the following steps. At block 322, the processor104 may acquire video data from the transport profiles. At block 324,the processor 104 may acquire links to data from the transport profiles.At block 326, the processor 104 may query the transport profiles fordata corresponding to locations within a pre-defined range from thelocation parameters of the accident. At block 328, the processor 104 mayreceive agreements from transports to access the transport profiles.Note that the agreements may represent a blockchain consensus. At block329, the processor 104 may execute a smart contract to query transportprofiles on a ledger of the blockchain for data associated with the timeand location parameters.

FIG. 3C illustrates a flow diagram 330, according to exampleembodiments. Referring to FIG. 3C, an example method may be executed bythe transport node 102 (see FIG. 1C). It should be understood thatmethod 330 depicted in FIG. 3C may include additional operations andthat some of the operations described therein may be removed and/ormodified without departing from the scope of the method 330. Thedescription of the method 330 is also made with reference to thefeatures depicted in FIG. 1C for purposes of illustration. Particularly,the processor 104 of the service node 103 may execute some or all of theoperations included in the method 330.

With reference to FIG. 3C, at block 333, the processor 104 may query aplurality of transports within a range of an accident location. At block335, the processor 104 may receive agreements to access profiles of theplurality of transports on a storage. At block 337, the processor 104may, responsive to the profiles containing video data associated withthe accident location, link the video data to a profile of thetransport.

FIG. 3D illustrates a flow diagram 340 of an example method, accordingto example embodiments. Referring to FIG. 3D, the method 342 may alsoinclude one or more of the following steps. At block 342, the processor104 may acquire video data from the transport profiles. At block 344,the processor 104 may acquire links to data from the transport profiles.At block 346, the processor 104 may query the transport profiles fordata corresponding to locations within a pre-defined range from thelocation parameters of the accident. At block 348, the processor 104 mayreceive agreements from transports to access the transport profiles.Note that the agreements may represent a blockchain 106 consensus. Atblock 350, the processor 104 may execute a smart contract to querytransport profiles on a ledger of the blockchain for data associatedwith the time and location parameters.

FIG. 3E illustrates a flow diagram 360, according to exampleembodiments. Referring to FIG. 3E, an example method may be executed bythe accident processing node 103 (see FIG. 1D). It should be understoodthat method 360 depicted in FIG. 3E may include additional operationsand that some of the operations described therein may be removed and/ormodified without departing from the scope of the method 360. Thedescription of the method 360 is also made with reference to thefeatures depicted in FIG. 1D for purposes of illustration. Particularly,the processor 104 of the accident processing node 103 may execute someor all of the operations included in the method 360.

With reference to FIG. 3E, at block 362, the processor 104 may receivean accident report generated by a transport. At block 364, the processor104 may retrieve a time and a location of the accident from the accidentreport. At block 366, the processor 104 may query a plurality oftransport profiles on a storage based on the time and the location ofthe accident. At block 368, the processor 104 may retrieve video dataassociated with the time and the location of the accident from theplurality of the transport profiles.

FIG. 3F illustrates a flow diagram 380 of an example method, accordingto example embodiments. Referring to FIG. 3F, the method 380 may alsoinclude one or more of the following steps. At block 382, the processor104 may access the video data from the profiles of the plurality of thetransports based on location coordinates and time stamps associated withthe video data. At block 384, the processor 104 may access the videodata on an external storage based on links contained in the plurality ofthe profiles. At block 386, the processor 104 may retrieve the videodata based on time stamps associated with the video data being within apre-set time interval of the time of the accident. At block 388, theprocessor 104 may retrieve the video data based on locations associatedwith the video data being within a pre-set distance of the location ofthe accident. Note that the storage may be a blockchain ledger. At block390, the processor 104 may execute a smart contract to retrieve videodata associated with the time and the location of the accident from theplurality of the transport profiles.

In one embodiment, at a predefined distance(s) from an accident, a zoomin/out of the accident scene can be created. Video or images fromvarious distances (for example, 500 yards away, 400 yards away, 300yards away, 200 yards away, etc.) can be captured based on the distanceof the capturing devices (which may be fixed or mobile) from theaccident location. The elevation of the capturing devices can be furtherassessed and utilized and thus the videos/images furthest away and atthe highest elevation can be captured first and the capturing continuesuntil the videos/images closest and at the lowest elevation are capturedlast. These video/images can be combined (from the furthest away at thehighest elevation to the closest at the lowest elevation and vice versa)at one or more of the transports, systems, computers and/or devicesdescribed or depicted herein, to create one video/image that recreatesand captures the incident. Other video/images that are incongruous (notin a uniform descending or ascending manner) can be removed. In thismanner, a high-to-low as well as a furthest-to-closest video/image iscaptured and integrated/combined to create an initial “helicopter” or“drone” view that can be reversed to provide a low-to-high as well as aclosest-to-furthest view to create an initial “ground level” view.Additional images, video, audio, text, location, weather, road, driver,transport and other data from various other sources in proximity to theaccident or with information related to the accident, can further beprovided from the capturing devices. In another embodiment, theincongruous video/images can be captured and a file created that depictsa non-uniform or smooth approach to the accident (i.e. at variouselevations, rising and/or falling to and/or from the scene).

In another embodiment, a consensus is formed between the plurality oftransports that captured video (and other data) and the transport(s)that has/were involved in the incident. The consensus can ensure thatthe transports that captured the video adhere a set of standards such asa type of video captured, a particular protocol followed (for example,associated with the dissemination of the video, the security of thedissemination, etc.), a sharing of other information related to thevideo (for example, providing personal or identifiable information aswell as location information, etc.). A smart contract can then beexecuted by the plurality of transports and the transport to retrievethe video data associated with the time and the location of the accidentbased on the plurality of the transport profiles. The video data canthen be provided to one or more of the transports that were involved inthe incident, the transports that captured the video, a server and/orany on-board or off-board device described or depicted herein that canreceive, analyze and/or report on the video data.

In a further embodiment, when an incident occurs (for example, anaccident, a near-accident, an issue with the transport, an issue with adriver and/or occupant of the transport, etc.) the transport involved inor associated with the incident queries one or more transports within arange of a location of the incident. One or more devices such assensors, processors, cameras, transceivers, etc. on the transportmonitor and store data associated with the incident (pre-incident,during the incident and/or post incident) as well as the varioustransports (as well as other objects including mobile devices and fixeddevices) proximate the incident. In one embodiment, an off-board serveror other devices can monitor and store this data. When the incidentoccurs (or at any time pre- or post-incident) the transport queries theone or more transports, via the one or more devices, for data associatedwith the incident that was captured by the one or more transports. Thetransport involved in the incident, the one or more other transportsand/or the off-board server ensure compliance with security requirementsset by an individual associated with a respective one of the pluralityof transports and legal requirements set by an entity associated withthe accident location. For example, security requirements can includethe manner in which the video from one or more of the transports can beaccessed, viewed, used, modified, distributed, stored, deleted,returned, encrypted, decrypted, referenced, etc., and legal requirementscan include city, county, state and federal provisions, as well as lawsrelated to FCC, FTC and other governmental entities. These requirementscan be set, updated and stored in an on-board and/or off board storage.If one or more of these requirements cannot be adhered to, the data isnot provided to the transport (or on behalf of the transport). Ifadherence is possible and confirmed, the transport receives agreementsto access profiles of the plurality of transports (from the on-board oroff-board storage), respectively, and responsive to the profilescontaining video data associated with the accident location, linking thevideo data to a profile of the transport. In another embodiment, thevideo data is linked to the profile of the transport (which may belocated in the on-board or off-board storage) of the transport andaccess or agreements to receive access are provided after adherence toone or more of the requirements in met. In a further embodiment,portions of the video and/or data related to the data (such as speed,location, occupants, weather, road, etc.) can be provided based onadherence to those portions being confirmed.

FIG. 4A illustrates an example blockchain vehicle configuration 400 formanaging blockchain transactions associated with a vehicle, according toexample embodiments. Referring to FIG. 4A, as a particulartransport/vehicle 425 is engaged in transactions, such as asset transfertransactions (e.g., access key exchanges, vehicle service, dealertransactions, delivery/pickup, transportation services, etc.). Thevehicle 425 may receive assets 410 and/or expel/transfer assets 412according to a transaction(s) defined by smart contracts. Thetransaction module 420 may record information, such as parties, credits,service descriptions, date, time, location, results, notifications,unexpected events, etc. Those transactions in the transaction module 420may be replicated into a blockchain 430, which may be managed by aremote server and/or by a remote blockchain peers, among which thevehicle 425 itself may represent a blockchain member and/or blockchainpeer. In other embodiments, the blockchain 430 resides on the vehicle425. The assets received and/or transferred can be based on location andconsensus as described herein.

FIG. 4B illustrates an example blockchain vehicle configuration 440 formanaging blockchain transactions between a service node (e.g., a gasstation, a service center, a body shop, a rental center, automotivedealer, local service stop, delivery pickup center, etc.) and a vehicle,according to example embodiments. In this example, the vehicle 425 mayhave driven itself to a service node 442, because the vehicle needsservice and/or needs to stop at a particular location. The service node442 may perform a service (e.g., pump gas) or may register the vehicle425 for a service call at a particular time, with a particular strategy,such as oil change, battery charge or replacement, tire change orreplacement, and any other transport related service. The servicesrendered 444 may be performed based on a smart contract, which isdownloaded from or accessed via the blockchain 430 and identified forpermission to perform such services for a particular rate of exchange.The services may be logged in the transaction log of the transactionmodule 420, the credits 412 are transferred to the service center 442and the blockchain may log transactions to represent all the informationregarding the recent service. In other embodiments, the blockchain 430resides on the vehicle 425 and/or the service center server. In oneexample, a transport event may require a refuel or other vehicle serviceand the occupants may then be responsible for the asset value increasefor such service. The service may be rendered via a blockchainnotification, which is then used to redistribute the asset value to theoccupants via their respective asset values. Responsibility for theservice center activities can be based on asset transfer as describedherein.

FIG. 4C illustrates an example blockchain vehicle configuration 450 formanaging blockchain transactions conducted among various vehicles,according to the exemplary embodiments. The vehicle 425 may engage withanother vehicle 408 to perform various actions such as to share accesskeys, transfer keys, acquire service calls, etc. when the vehicle hasreached a status where the assets need to be shared with anothervehicle. For example, the vehicle 408 may be due for a battery chargeand/or may have an issue with a tire and may be in route to pick up apackage for delivery. The vehicle 408 may notify another vehicle 425which is in its network and which operates on its blockchain memberservice. The vehicle 425 may then receive the information via a wirelesscommunication request to perform the package pickup from the vehicle 408and/or from a server (not shown). The transactions are logged in thetransaction modules 452 and 420 of both vehicles. The assets aretransferred from vehicle 408 to vehicle 425 and the record of the assettransfer is logged in the blockchain 430/454 assuming that theblockchains are different from one another, or, are logged in the sameblockchain used by all members. Responsibility for the transferredassets can be based on asset values (e.g., access keys) as describedherein.

FIG. 5 illustrates blockchain blocks 500 that can be added to adistributed ledger, according to example embodiments, and contents ofblock structures 502A to 502 n. Referring to FIG. 5, clients (not shown)may submit entries to blockchain nodes to enact activity on theblockchain. As an example, clients may be applications that act onbehalf of a requester, such as a device, person or entity to proposeentries for the blockchain. The plurality of blockchain peers (e.g.,blockchain nodes) may maintain a state of the blockchain network and acopy of the distributed ledger. Different types of blockchainnodes/peers may be present in the blockchain network including endorsingpeers, which simulate and endorse entries proposed by clients andcommitting peers which verify endorsements, validate entries, and commitentries to the distributed ledger. In this example, the blockchain nodesmay perform the role of endorser node, committer node, or both.

The instant system includes a blockchain which stores immutable,sequenced records in blocks, and a state database (current world state)maintaining a current state of the blockchain. One distributed ledgermay exist per channel and each peer maintains its own copy of thedistributed ledger for each channel of which they are a member. Theinstant blockchain is an entry log, structured as hash-linked blockswhere each block contains a sequence of N entries. Blocks may includevarious components such as those shown in FIG. 5. The linking of theblocks may be generated by adding a hash of a prior block's headerwithin a block header of a current block. In this way, all entries onthe blockchain are sequenced and cryptographically linked togetherpreventing tampering with blockchain data without breaking the hashlinks. Furthermore, because of the links, the latest block in theblockchain represents every entry that has come before it. The instantblockchain may be stored on a peer file system (local or attachedstorage), which supports an append-only blockchain workload.

The current state of the blockchain and the distributed ledger may bestored in the state database. Here, the current state data representsthe latest values for all keys ever included in the chain entry log ofthe blockchain. Smart contract executable code invocations executeentries against the current state in the state database. To make thesesmart contract executable code interactions extremely efficient, thelatest values of all keys are stored in the state database. The statedatabase may include an indexed view into the entry log of theblockchain, it can therefore be regenerated from the chain at any time.The state database may automatically get recovered (or generated ifneeded) upon peer startup, before entries are accepted.

Endorsing nodes receive entries from clients and endorse the entry basedon simulated results. Endorsing nodes hold smart contracts whichsimulate the entry proposals. When an endorsing node endorses an entry,the endorsing nodes creates an entry endorsement which is a signedresponse from the endorsing node to the client application indicatingthe endorsement of the simulated entry. The method of endorsing an entrydepends on an endorsement policy which may be specified within smartcontract executable code. An example of an endorsement policy is “themajority of endorsing peers must endorse the entry.” Different channelsmay have different endorsement policies. Endorsed entries are forward bythe client application to an ordering service.

The ordering service accepts endorsed entries, orders them into a block,and delivers the blocks to the committing peers. For example, theordering service may initiate a new block when a threshold of entrieshas been reached, a timer times out, or another condition. In thisexample, blockchain node is a committing peer that has received a datablock 602A for storage on the blockchain. The ordering service may bemade up of a cluster of orderers. The ordering service does not processentries, smart contracts, or maintain the shared ledger. Rather, theordering service may accept the endorsed entries and specifies the orderin which those entries are committed to the distributed ledger. Thearchitecture of the blockchain network may be designed such that thespecific implementation of ‘ordering’ (e.g., Solo, Kafka, BFT, etc.)becomes a pluggable component.

Entries are written to the distributed ledger in a consistent order. Theorder of entries is established to ensure that the updates to the statedatabase are valid when they are committed to the network. Unlike acrypto-currency blockchain system (e.g., Bitcoin, etc.) where orderingoccurs through the solving of a cryptographic puzzle, or mining, in thisexample the parties of the distributed ledger may choose the orderingmechanism that best suits that network.

Referring to FIG. 5, a block 502A (also referred to as a data block)that is stored on the blockchain and/or the distributed ledger mayinclude multiple data segments such as a block header 504A to 504 n,transaction specific data 506A to 506 n, and block metadata 508A to 508n. It should be appreciated that the various depicted blocks and theircontents, such as block 502A and its contents are merely for purposes ofan example and are not meant to limit the scope of the exampleembodiments. In some cases, both the block header 504A and the blockmetadata 508A may be smaller than the transaction specific data 506Awhich stores entry data; however, this is not a requirement. The block502A may store transactional information of N entries (e.g., 100, 500,1000, 2000, 3000, etc.) within the block data 510A to 510 n. The block502A may also include a link to a previous block (e.g., on theblockchain) within the block header 504A. In particular, the blockheader 504A may include a hash of a previous block's header. The blockheader 504A may also include a unique block number, a hash of the blockdata 510A of the current block 502A, and the like. The block number ofthe block 502A may be unique and assigned in an incremental/sequentialorder starting from zero. The first block in the blockchain may bereferred to as a genesis block which includes information about theblockchain, its members, the data stored therein, etc.

The block data 510A may store entry information of each entry that isrecorded within the block. For example, the entry data may include oneor more of a type of the entry, a version, a timestamp, a channel ID ofthe distributed ledger, an entry ID, an epoch, a payload visibility, asmart contract executable code path (deploy tx), a smart contractexecutable code name, a smart contract executable code version, input(smart contract executable code and functions), a client (creator)identify such as a public key and certificate, a signature of theclient, identities of endorsers, endorser signatures, a proposal hash,smart contract executable code events, response status, namespace, aread set (list of key and version read by the entry, etc.), a write set(list of key and value, etc.), a start key, an end key, a list of keys,a Merkel tree query summary, and the like. The entry data may be storedfor each of the N entries.

In some embodiments, the block data 510A may also store transactionspecific data 506A which adds additional information to the hash-linkedchain of blocks in the blockchain. Accordingly, the data 506A can bestored in an immutable log of blocks on the distributed ledger. Some ofthe benefits of storing such data 506A are reflected in the variousembodiments disclosed and depicted herein. The block metadata 508A maystore multiple fields of metadata (e.g., as a byte array, etc.).Metadata fields may include signature on block creation, a reference toa last configuration block, an entry filter identifying valid andinvalid entries within the block, last offset persisted of an orderingservice that ordered the block, and the like. The signature, the lastconfiguration block, and the orderer metadata may be added by theordering service. Meanwhile, a committer of the block (such as ablockchain node) may add validity/invalidity information based on anendorsement policy, verification of read/write sets, and the like. Theentry filter may include a byte array of a size equal to the number ofentries in the block data 510A and a validation code identifying whetheran entry was valid/invalid.

The other blocks 502B to 502 n in the blockchain also have headers,files, and values. However, unlike the first block 502A, each of theheaders 504A to 504 n in the other blocks includes the hash value of animmediately preceding block. The hash value of the immediately precedingblock may be just the hash of the header of the previous block or may bethe hash value of the entire previous block. By including the hash valueof a preceding block in each of the remaining blocks, a trace can beperformed from the Nth block back to the genesis block (and theassociated original file) on a block-by-block basis, as indicated byarrows 512, to establish an auditable and immutable chain-of-custody.

The above embodiments may be implemented in hardware, in a computerprogram executed by a processor, in firmware, or in a combination of theabove. A computer program may be embodied on a computer readable medium,such as a storage medium. For example, a computer program may reside inrandom access memory (“RAM”), flash memory, read-only memory (“ROM”),erasable programmable read-only memory (“EPROM”), electrically erasableprogrammable read-only memory (“EEPROM”), registers, hard disk, aremovable disk, a compact disk read-only memory (“CD-ROM”), or any otherform of storage medium known in the art.

An exemplary storage medium may be coupled to the processor such thatthe processor may read information from, and write information to, thestorage medium. In the alternative, the storage medium may be integralto the processor. The processor and the storage medium may reside in anapplication specific integrated circuit (“ASIC”). In the alternative,the processor and the storage medium may reside as discrete components.For example, FIG. 6 illustrates an example computer system architecture600, which may represent or be integrated in any of the above-describedcomponents, etc.

FIG. 6 is not intended to suggest any limitation as to the scope of useor functionality of embodiments of the application described herein.Regardless, the computing node 600 is capable of being implementedand/or performing any of the functionality set forth hereinabove.

In computing node 600 there is a computer system/server 602, which isoperational with numerous other general purpose or special purposecomputing system environments or configurations. Examples of well-knowncomputing systems, environments, and/or configurations that may besuitable for use with computer system/server 602 include, but are notlimited to, personal computer systems, server computer systems, thinclients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 602 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 602 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 6, computer system/server 602 in cloud computing node600 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 602 may include, but are notlimited to, one or more processors or processing units 604, a systemmemory 606, and a bus that couples various system components includingsystem memory 606 to processor 604.

The bus represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 602 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 602, and it includes both volatileand non-volatile media, removable and non-removable media. System memory606, in one embodiment, implements the flow diagrams of the otherfigures. The system memory 606 can include computer system readablemedia in the form of volatile memory, such as random-access memory (RAM)608 and/or cache memory 610. Computer system/server 602 may furtherinclude other removable/non-removable, volatile/non-volatile computersystem storage media. By way of example only, memory 606 can be providedfor reading from and writing to a non-removable, non-volatile magneticmedia (not shown and typically called a “hard drive”). Although notshown, a magnetic disk drive for reading from and writing to aremovable, non-volatile magnetic disk (e.g., a “floppy disk”), and anoptical disk drive for reading from or writing to a removable,non-volatile optical disk such as a CD-ROM, DVD-ROM or other opticalmedia can be provided. In such instances, each can be connected to thebus by one or more data media interfaces. As will be further depictedand described below, memory 606 may include at least one program producthaving a set (e.g., at least one) of program modules that are configuredto carry out the functions of various embodiments of the application.

Program/utility, having a set (at least one) of program modules, may bestored in memory 606 by way of example, and not limitation, as well asan operating system, one or more application programs, other programmodules, and program data. Each of the operating system, one or moreapplication programs, other program modules, and program data or somecombination thereof, may include an implementation of a networkingenvironment. Program modules generally carry out the functions and/ormethodologies of various embodiments of the application as describedherein.

As will be appreciated by one skilled in the art, aspects of the presentapplication may be embodied as a system, method, or computer programproduct. Accordingly, aspects of the present application may take theform of an entirely hardware embodiment, an entirely software embodiment(including firmware, resident software, micro-code, etc.) or anembodiment combining software and hardware aspects that may allgenerally be referred to herein as a “circuit,” “module” or “system.”Furthermore, aspects of the present application may take the form of acomputer program product embodied in one or more computer readablemedium(s) having computer readable program code embodied thereon.

Computer system/server 602 may also communicate with one or moreexternal devices via an I/O adapter 612, such as a keyboard, a pointingdevice, a display, etc.; one or more devices that enable a user tointeract with computer system/server 602; and/or any devices (e.g.,network card, modem, etc.) that enable computer system/server 602 tocommunicate with one or more other computing devices. Such communicationcan occur via I/O interfaces of the adapter 612. Still yet, computersystem/server 602 can communicate with one or more networks such as alocal area network (LAN), a general wide area network (WAN), and/or apublic network (e.g., the Internet) via a network adapter. As depicted,adapter 612 communicates with the other components of computersystem/server 602 via a bus. It should be understood that although notshown, other hardware and/or software components could be used inconjunction with computer system/server 602. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Although an exemplary embodiment of at least one of a system, method,and non-transitory computer readable medium has been illustrated in theaccompanied drawings and described in the foregoing detaileddescription, it will be understood that the application is not limitedto the embodiments disclosed, but is capable of numerous rearrangements,modifications, and substitutions as set forth and defined by thefollowing claims. For example, the capabilities of the system of thevarious figures can be performed by one or more of the modules orcomponents described herein or in a distributed architecture and mayinclude a transmitter, receiver or pair of both. For example, all orpart of the functionality performed by the individual modules, may beperformed by one or more of these modules. Further, the functionalitydescribed herein may be performed at various times and in relation tovarious events, internal or external to the modules or components. Also,the information sent between various modules can be sent between themodules via at least one of: a data network, the Internet, a voicenetwork, an Internet Protocol network, a wireless device, a wired deviceand/or via plurality of protocols. Also, the messages sent or receivedby any of the modules may be sent or received directly and/or via one ormore of the other modules.

One skilled in the art will appreciate that a “system” could be embodiedas a personal computer, a server, a console, a personal digitalassistant (PDA), a cell phone, a tablet computing device, a smartphoneor any other suitable computing device, or combination of devices.Presenting the above-described functions as being performed by a“system” is not intended to limit the scope of the present applicationin any way but is intended to provide one example of many embodiments.Indeed, methods, systems and apparatuses disclosed herein may beimplemented in localized and distributed forms consistent with computingtechnology.

It should be noted that some of the system features described in thisspecification have been presented as modules, in order to moreparticularly emphasize their implementation independence. For example, amodule may be implemented as a hardware circuit comprising custom verylarge-scale integration (VLSI) circuits or gate arrays, off-the-shelfsemiconductors such as logic chips, transistors, or other discretecomponents. A module may also be implemented in programmable hardwaredevices such as field programmable gate arrays, programmable arraylogic, programmable logic devices, graphics processing units, or thelike.

A module may also be at least partially implemented in software forexecution by various types of processors. An identified unit ofexecutable code may, for instance, comprise one or more physical orlogical blocks of computer instructions that may, for instance, beorganized as an object, procedure, or function. Nevertheless, theexecutables of an identified module need not be physically locatedtogether but may comprise disparate instructions stored in differentlocations which, when joined logically together, comprise the module andachieve the stated purpose for the module. Further, modules may bestored on a computer-readable medium, which may be, for instance, a harddisk drive, flash device, random access memory (RAM), tape, or any othersuch medium used to store data.

Indeed, a module of executable code could be a single instruction, ormany instructions, and may even be distributed over several differentcode segments, among different programs, and across several memorydevices. Similarly, operational data may be identified and illustratedherein within modules and may be embodied in any suitable form andorganized within any suitable type of data structure. The operationaldata may be collected as a single data set or may be distributed overdifferent locations including over different storage devices, and mayexist, at least partially, merely as electronic signals on a system ornetwork.

It will be readily understood that the components of the application, asgenerally described and illustrated in the figures herein, may bearranged and designed in a wide variety of different configurations.Thus, the detailed description of the embodiments is not intended tolimit the scope of the application as claimed but is merelyrepresentative of selected embodiments of the application.

One having ordinary skill in the art will readily understand that theabove may be practiced with steps in a different order, and/or withhardware elements in configurations that are different than those whichare disclosed. Therefore, although the application has been describedbased upon these preferred embodiments, it would be apparent to those ofskill in the art that certain modifications, variations, and alternativeconstructions would be apparent.

While preferred embodiments of the present application have beendescribed, it is to be understood that the embodiments described areillustrative only and the scope of the application is to be definedsolely by the appended claims when considered with a full range ofequivalents and modifications (e.g., protocols, hardware devices,software platforms etc.) thereto.

What is claimed is:
 1. A method, comprising: querying, by an accidentprocessing node, a plurality of transport profiles based on a time and alocation of an accident; associating the plurality of transports with aplurality of transports, wherein the profiles include image data andvideo data captured by capturing devices of the plurality of transports;and combining, by the accident processing node, the captured image dataand the captured video data based on a distance and an elevation of eachof the capturing devices.
 2. The method of claim 1, comprising:accessing the image/video data from each of the transport profiles basedon location coordinates and time stamps associated with the image/videodata.
 3. The method of claim 1, comprising: accessing the image/videodata on an external storage based on links contained in each of thetransport profiles.
 4. The method of claim 1, comprising: retrieving theimage/video data based on time stamps associated with the image/videodata being within a pre-set time interval of the time of the accident.5. The method of claim 1, comprising: retrieving the image/video databased on locations associated with the image/video data being within apre-set distance of the location of the accident.
 6. The method of claim1, comprising: retrieving the image/video data based on profilesassociated with the image/video data being in proximity to the locationof the accident.
 7. The method of claim 1, wherein the retrieving theimage/video data further comprises: retrieving the image/video databased on a smart contract between the transport and the plurality ofcorresponding transports.
 8. An accident processing node, comprising: amemory storing one or more instructions; and a processor that whenexecuting the one or more instructions is configured to: query, by anaccident processing node, a plurality of transport profiles based on atime and a location of an accident; associate the plurality oftransports with a plurality of transports, wherein the profiles includeimage data and video data captured by capturing devices of the pluralityof transports; and combine, by the accident processing node, thecaptured image data and the captured video data based on a distance andan elevation of each of the capturing devices.
 9. The accidentprocessing node of claim 8, wherein the processor is further configuredto: access the image/video data from each of the transport profilesbased on location coordinates and time stamps associated with theimage/video data.
 10. The accident processing node of claim 8, whereinthe processor is further configured to: access the image/video data onan external storage based on links contained in each of the transportprofiles.
 11. The accident processing node of claim 8, wherein theprocessor is further configured to: retrieve the image/video data basedon time stamps associated with the image/video data being within apre-set time interval of the time of the accident.
 12. The accidentprocessing node of claim 8, wherein the processor is further configuredto: retrieve the image/video data based on locations associated with theimage/video data being within a pre-set distance of the location of theaccident.
 13. The accident processing node of claim 8, wherein theprocessor is further configured to: retrieve the image/video data basedon profiles associated with the image/video data being in proximity tothe location of the accident.
 14. The accident processing node of claim8, wherein, when the processor is configured to retrieve the image/videodata the processor is further configured to: retrieve the image/videodata based on a form a consensus between the plurality of transports andexecuting a smart contract by the plurality of transports and thetransport to retrieve video data associated with the time and thelocation of the accident from the plurality of the transport profiles.15. A non-transitory computer readable medium comprising one or moreinstructions that when executed by a processor of an accident processingnode cause the processor to perform: querying, by an accident processingnode, a plurality of transport profiles based on a time and a locationof an accident; associating the plurality of transports with a pluralityof transports, wherein the profiles include image data and video datacaptured by capturing devices of the plurality of transports; andcombining, by the accident processing node, the captured image data andthe captured video data based on a distance and an elevation of each ofthe capturing devices.
 16. The non-transitory computer readable mediumof claim 15, wherein the one or more instructions further cause theprocessor to perform: accessing the image/video data from each of thetransport profiles based on location coordinates and time stampsassociated with the image/video data.
 17. The non-transitory computerreadable medium of claim 15, wherein the one or more instructionsfurther cause the processor to perform: retrieving the image/video databased on time stamps associated with the image/video data being within apre-set time interval of the time of the accident.
 18. Thenon-transitory computer readable medium of claim 15, wherein the one ormore instructions further cause the processor to perform retrieving theimage/video data based on locations associated with the image/video databeing within a pre-set distance of the location of the accident.
 19. Thenon-transitory computer readable medium of claim 15, wherein the one ormore instructions further cause the processor to perform retrieving theimage/video data based on profiles associated with the image/video databeing in proximity to the location of the accident.
 20. Thenon-transitory computer readable medium of claim 15, wherein theretrieving the image/video data further comprises: form a consensusbetween the plurality of transports and executing a smart contract bythe plurality of transports and the transport to retrieve video dataassociated with the time and the location of the accident from theplurality of the transport profiles.